DocumentCode
3289779
Title
Stance control model in consideration of feed-forward control by reticulospinal tract
Author
Ping Jiang ; Zhifeng Huang ; Yanjiang Huang ; Chiba, Ryosuke ; Takakusaki, Keiji ; Ota, Jun
Author_Institution
Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
346
Lastpage
351
Abstract
This paper aims to investigate the function of constant feed-forward control from the reticulospinal tract (RST) on improving posture stability during standing from the viewpoint of ability to countering the disturbances. We presented a stance control model considering not only the balance control, a PD controller, from vestibular tract based on vestibular feedback but also the constant feed-forward control ur by reticulospinal tract. Parameters of PD controller, max muscle isometric force of back extensors and flexors and the constant strength of control from RST were optimized during a 3s forward dynamics simulation and the optimal ur was obtained. Then, we fixed the value of ur around the value of optimal one and only optimized other four parameters. After that, the abilities of countering the platform disturbance of the musculoskeletal (MSK) model under the control of different ur were investigated. As a result, we found that optimal ur would improve the posture stability and make MSK model more adaptive to the disturbance.
Keywords
PD control; feedback; feedforward; medical control systems; stability; MSK; PD controller; RST; back extensors; balance control; constant feed-forward control; flexors; forward dynamics simulation; max muscle isometric force; musculoskeletal model; posture stability; reticulospinal tract; stance control model; vestibular feedback; vestibular tract; Biological system modeling; Force; Joints; Muscles; PD control; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ROBIO.2013.6739483
Filename
6739483
Link To Document